Paper
13 March 2009 Implementation of an effective KL domain penalized weighted least-squares sinogram restoration for low-dose CT colonography
Author Affiliations +
Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 725856 (2009) https://doi.org/10.1117/12.811670
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Currently available spiral/helical computed tomography (HCT) technologies have demonstrated the potential for CTbased virtual colonoscopy or CT-colonography (CTC). However, a major limitation for this clinical application is associated with the risk of high radiation exposure, especially for its use for screening purpose at a large population. In this work, we presented an improved Karhunen-Loeve (KL) domain penalized weighted least-squares (PWLS) strategy which considers the data correlation among the nearby angular views and nearby axial slices simultaneously so that a fully three-dimensional (3D) restoration problem can be reduced to a 1D operation and therefore an analytical calculation is feasible for highest computing efficiency. The KL-PWLS strategy was implemented and tested on computer simulated sinograms which mimic low-dose CT scans at different noise levels characterized by 50, 40, 30, 20 and 10 mAs respectively. The reconstructed images by the presented strategy demonstrated the potential of ultra low-dose CT at as low as 10 mAs for VC application. Further evaluation by receiver operating characteristic study is needed and is under progress.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Fan, Jing Wang, Hongbing Lu, and Zhengrong Liang "Implementation of an effective KL domain penalized weighted least-squares sinogram restoration for low-dose CT colonography", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 725856 (13 March 2009); https://doi.org/10.1117/12.811670
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KEYWORDS
Computed tomography

Virtual colonoscopy

X-ray computed tomography

Sensors

X-rays

Cancer

Colorectal cancer

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